Detection and Sizing of Fatigue Cracks in Metallic Structures from Eddy Current Probe Signals

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HEIDARI TEIMOUR; Hesamedin Sadeghi Seyed Hossein

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Non-Destructive Testing Technology Year:2018 | Volume:2 | Issue:2 Page(s): 42-48

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

305

Download:

Cites:

Information Journal Paper

Title

Detection and Sizing of Fatigue Cracks in Metallic Structures from Eddy Current Probe Signals

Author(s)

HEIDARI TEIMOUR | Hesamedin Sadeghi Seyed Hossein | Issue Writer Certificate

Keywords

Nondestructive testing

Eddy current

Inverse algorithm

Particle swarm optimization

Abstract

The use of Eddy current (EC) technique has proved to be a viable means for crack detection and sizing in metals. In this technique, a crack is evaluated from the observation of probe impedance changes due to the interaction between induced current in a metal and the crack. Since the growth of fatigue crack in metals is a stochastic process, the cracks do not have a constant predetermined shape. Detection and Sizing of the cracks from probe signals witch called inverse problem is important for predicting the life of the workpiece. In this paper, an Inverse algorithm based on the Particle swarm optimization (PSO) technique is proposed for predicting the crack depth profile from EC probe signals. The validity of the proposed algorithm is demonstrated by comparing the actual and reconstructed depth profiles from measurement EC probe signals.

Cites

No record.

References

No record.

Cite

APA: Copy

HEIDARI, TEIMOUR, & Hesamedin Sadeghi, Seyed Hossein. (2018). Detection and Sizing of Fatigue Cracks in Metallic Structures from Eddy Current Probe Signals. NONDESTRUCTIVE TESTING TECHNOLOGY, 2(2 ), 42-48. SID. https://sid.ir/paper/373759/en

Vancouver: Copy

HEIDARI TEIMOUR, Hesamedin Sadeghi Seyed Hossein. Detection and Sizing of Fatigue Cracks in Metallic Structures from Eddy Current Probe Signals. NONDESTRUCTIVE TESTING TECHNOLOGY[Internet]. 2018;2(2 ):42-48. Available from: https://sid.ir/paper/373759/en

IEEE: Copy

TEIMOUR HEIDARI, and Seyed Hossein Hesamedin Sadeghi, “Detection and Sizing of Fatigue Cracks in Metallic Structures from Eddy Current Probe Signals,” NONDESTRUCTIVE TESTING TECHNOLOGY, vol. 2, no. 2 , pp. 42–48, 2018, [Online]. Available: https://sid.ir/paper/373759/en

Related Journal Papers